MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

高效液相色谱-串联质谱法同时测定地表水中33种药物

采用固相萃取-高效液相色谱-串联质谱法(SPE-HPLC-MS/MS)建立了地表水中25种抗生素类药物和8种非抗生素类药物的分析方法。通过重点优化质谱参数、色谱条件、样品pH、洗脱溶剂组成及用量等确定了最佳分析条件。水样经过滤、固相萃取柱富集净化后,选择Shim-pack XR-ODS为色谱柱,以乙腈和0.2%甲酸-2 mmol/L乙酸铵-水溶液为流动相进行梯度洗脱,采用电喷雾电离源,在多反应监测模式下(MRM)分析测定,内标法定量。33种药物的仪器定量限为0.012～4.68 ng/L,方法检出限为0.011～7.60 ng/L,地表水加标回收率为53.7%～122%,相对标准偏差为1.22%～32.1%(n=6)。方法成功应用于北京市凉水河12个地表水样分析,共检出32种药物,检出质量浓度为未检出～239 ng/L。利托那韦(RTV)作为新型冠状病毒诊疗方案中推荐的药物在凉水河检出率为100%。     

Volatilization of heavy metals during incineration of municipal solid wastes

Incineration experiments with MSW, which had been impregnated with heavy metals, were presented to obtain information on the volatilization behavior of the elements cadmium (Cd), lead (Pb), and zinc (Zn) under different conditions. Experiments were carried out in a bubbling fluid bed system connected to a customized inductively coupled plasma optical emission spectroscopy(ICP-OES) for analyzing metals in the flue gas. The results indicated that the combustion temperature, the gas atmosphere, and the chlorine content in the flue gas could affect the volatilization behavior of heavy metals. In the fluidized bed combustion, a large surface area was provided by the bed sand particles, and they may act as absorbents for the gaseous ash-forming compound. Comparer with the metals Cd and Pb, the vaporization of Zn was low. The formation of stable compounds such as ZnO.Al2O3 could greatly decrease the metals volatilization. The presence of chlorine would enhance the volatilization of heavy metals by increasing the formation of metal chlorides. However, when the oxygen content was high, the chlorinating reaction was kinetically hindered, which heavy metals release would be delayed.     

Neutron activation analysis of ceramic tiles and its component and radon exhalation rate

IntroductionCeramic,consistofearthymaterialslikeclaykaolin ,limestoneandsandglass .Ceramicmaterialsarenonmetalic ,inorganiccompoundsprimaryoxides ,alsocarbides ,nitridesandsilicides .Twotypesofbondingmechanismsoccurinceramicmaterial ,ionicandcovalent.Theo…     

温州临江垃圾焚烧发电厂飞灰的性质研究

研究了温州临江垃圾焚烧发电厂生活垃圾焚烧产生飞灰的物理和化学性质。飞灰为含水率低、颗粒尺寸集中在43~175μm之间的灰色粉末,主要由Si、Al、Ca、Mg、Fe、Na、K、C和S元素组成。飞灰中Pb、Cd的浸出浓度在酸性条件下都不同程度地高于我国危险废物鉴别标准的允许浓度,其中Pb的浸出浓度在pH值1.06~13.69条件下远远超标,碱性条件下浸出毒性比酸性条件下小。矿物组成主要为石英(SiO2)、赤铁矿αFe2O3、钙长石CaO.Al2O3.2SiO2、钙铝黄长石2CaO.Al2O3.SiO2、KCl、NaCl、CaCO、PbO、TiO2、ZnCO3等,溶解盐含量高达19.5%,化学反应活性较强,热稳定性较差。     

固体推进剂老化过程影响因素及化学反应机理研究进展

基于固体推进剂的贮存老化,以NEPE推进剂和以HTPB推进剂为代表,综述了近年来固体推进剂老化进程中所受的各种影响因素、作用机制及化学反应机理研究进展。总结了温湿度、应力和环境气氛为代表的外部环境因素,配方性质、组分变化和添加剂等内部影响因素对推进剂老化及贮存失效期限的影响。分别从微观和宏观角度出发,分析了内外部各种影响因素加速或减缓固体推进剂老化进程的作用机制。此外,针对黏合剂、氧化剂、防老剂等化学组分,总结了固体推进剂贮存老化期间发生的氧化交联、分解、降解断链等主要化学反应,并分析了各个反应发生的机理及原因。最后,展望了未来固体推进剂老化影响因素研究的发展趋势,并为今后固体推进剂老化机理及失效模式研究提供了研究思路。     

“无废城市”建设推进政策及措施的国别比较研究

“无废城市”建设已经成为应对城市固体废物（以下简称“固废”）管理挑战的国际趋势，我国也启动了“无废城市”建设试点工作。本文介绍了国际“无废城市”实践的背景和发展趋势，对我国和其他高收入国家的“无废城市”相关政策和具体实施方案进行了对比分析。分析结果表明，“无废城市”的推进政策与实施措施存在国别差异，我国的“无废城市”采纳了“问题导向”的推进策略，而高收入国家则是“目标导向”。最后对进一步推进我国“无废城市”建设试点工作提出了四点建议。     

炼钢精炼渣气固碳酸化反应吸附CO2

采用炼钢精炼渣,通过气固碳酸化反应吸附CO₂,考察了不同吸附温度下精炼渣对纯CO₂和模拟高炉煤气中CO₂的吸附能力。实验结果表明：吸附温度对精炼渣吸附CO₂反应有显著的影响,升高温度可以提高精炼渣对CO₂的吸附能力;在400 ℃时,精炼渣吸附纯CO₂和模拟高炉煤气中CO₂的量分别为4.7 mg/g和9.8 mg/g;吸附温度升高到500 ℃和550 ℃时,精炼渣对纯CO₂的吸附能力强于高炉煤气中CO₂;在550 ℃时,精炼渣吸附纯CO₂和模拟高炉煤气中CO₂的量达到最高,分别为14.7 mg/g和12.9 mg/g。     

Critical review for the quantification of leachate production: Evaluation example for the “Oum Azza” public landfill in Rabat city,Morocco

The estimation of leachate quantities produced in landfills is necessary to dimension the treatment plants allowing to reduce the polluting load of these effluents and consequently avoid their negative impacts on the environment. Different leachate quantification methods were used in this study to assess the leachate volume produced at the Oum Azza landfill. The water balance method give comparable estimations of leachate production to the Ouled Berjal landfill ratio. The first method showed average values between 487 and 495 m³/day for 2015, 2018, and 2019, and at the same time, the second method gave values between 470 and 477 m³/day for the same years. In contrast, the World Bank ratio showed high values that vary between 2260 and 2295 m³/day for 2015, 2018, and 2019. The on-site data and the statistical analysis showed us that the World Bank ratio is not adapted for the estimation of the leachates produced in Oum Azza landfill, while the water balance and the ratio of Ouled Berjal landfill allowed to give comparable results to reality.     

Zinc recovery from hazardous construction wastes via an integrated process of the air classification,alkaline leaching,and water washing

Zinc- and lead-containing wastes are often mixed with construction and demolition wastes in many factories, generating abundant of heavy metal-enriched hazardous waste. In the present study, a novel integrated process of air classification, alkaline leaching, and water washing dechlorination was proposed for the efficient recycling of Zinc (Zn) resources. The first air classification process was realized via venturi tube, wherein the content of Zn could increase by 20 wt.%. After that, the product underwent an alkaline leaching process. Results showed that Zn recovery rate increased with fine particle sizes, and a 65% recovery rate was obtained under the following conditions of 5 mol/L NaOH, liquid/solid 10:1, and leaching time 1 h. Finally, water washing associated with microwave and ultrasonic treatments could remove over 85% of Cl and other water-soluble salts. All the results indicated that the integrated method had an excellent recovery rate for Zn resources from construction and demolition wastes.